Salesforce (CRM) price forecast

Salesforce is trading at 188.38. Over the next 4 hours our simulation puts it between 183.89 and 195.01— that's the 10th-to-90th percentile of 20,000 modelled outcomes, so roughly four times in five it should land inside that band. The model puts the odds of finishing higher at 59%. These are probabilities, not predictions of certainty, and the backtest below shows exactly how often the model has been right.

Salesforce forecast by timeframe

Intraday horizons are free. Longer horizons — 1 day through 5 years — are part of Pro.

How accurate has this model been on Salesforce?

Every forecast site claims accuracy. Here is ours, measured by walk-forward backtest on data the model never saw during training. Where it has no edge over a naive baseline, we say so.

Backtested on 1925unseen samples. "No edge" means the model was no better than assuming the recent trend continues — an honest result, and a common one.

What the model is saying about Salesforce

From a current price near 188, the model projects broadly flat-to-lower outcomes. Over one week it expects about 188 (a -0.35% return), with a 10th-to-90th percentile band of roughly 176 to 201 and a 58% chance of finishing higher. The one-month view centers near 185 (-1.69%), ranging 162 to 212, with prob-up at 52%. The one-year projection drops to about 156 (-17.24%), spanning 97 to 250, with only a 30% chance of a gain. Reliability is tagged moderate, low, and very low respectively. The wide ranges reflect 36.55% annualised volatility, even as trailing-month momentum is a strong +15.59%. On edge, be blunt: the ML model does not beat the naive baseline at 1 day (51.6% vs 51.6%) or 7 days (53.0% vs 53.7%), and only marginally at 30 days (55.3% vs 54.3%). Continued momentum, a volatility shift, or the longer-horizon accuracy being too weak to trust could all invalidate this outlook.

How to read this forecast

We don't publish a single price target, because nobody can know one. Instead the engine runs 20,000 simulated futures for Salesforce and reports the band containing the middle 80% of them — the 10th to 90th percentile. A wide band means genuine uncertainty; a narrow one means the recent range has been calm. The odds higher figure is a calibrated probability: when we say 60%, outcomes of that kind should finish higher about 60 times in 100. Near 50% there is no directional signal at all, and the range itself is the entire forecast.

More depth: what a forecast cone is, how to read a P10–P90 range, and what makes a probability trustworthy. Our public accuracy scorecard shows where the model has an edge — and where it has none.

Other stock forecasts

Forecasts are probabilistic estimates from historical price data, not financial advice. Short-horizon direction has only a small measurable edge; long-horizon numbers reflect drift plus widening uncertainty and should be read as ranges, not targets. Figures update hourly. Coneview provides statistical market information, not financial advice.